Update: Version bump with changelog (#242)

Author: eddiebergman

ConfigSpace/__version__.py

@@ -1,4 +1,4 @@
 """Version information."""
 
 # The following line *must* be the last in the module, exactly as formatted:
-__version__ = "0.4.21"
+__version__ = "0.5.0"

changelog.md

@@ -1,3 +1,18 @@
+# Version 0.5.0
+
+* Fix #231: Links to the pcs formats.
+* Fix #230: Allow Forbidden Clauses with non-numeric values.
+* Fix #232: Equality `==` between hyperparameters now considers default values.
+* Fix #221: Normal Hyperparameters should now properly sample from correct distribution in log space
+* Fix #221: Fixed boundary problems with integer hyperparameters due to numerical rounding after sampling.
+* Maint #221: Categorical Hyperparameters now always have associated probabilities, remaining uniform if non are provided. (Same behaviour)
+* Add #222: BetaFloat and BetaInteger hyperparamters, hyperparameters distributed according to a beta distribution.
+* Add #241: Implements support for [PiBo](https://openreview.net/forum?id=MMAeCXIa89), you can now embed some prior distribution knowledge into ConfigSpace hyperparameters.
+    * See the example [here](https://automl.github.io/ConfigSpace/master/User-Guide.html#th-example-placing-priors-on-the-hyperparameters).
+    * Hyperparameters now have a `pdf(vector: np.ndarray) -> np.ndarray` to get the probability density values for the input
+    * Hyperparameters now have a `get_max_density() -> float` to get the greatest value in it's probability distribution function, the probability of the mode of the distriubtion.
+    * `ConfigurationSpace` objects now have a `remove_parameter_priors() -> ConfigurationSpace` to remove any priors
+
 # Version 0.4.21
 
 * Add #224: Now builds binary wheels for Windows/Mac/Linux, available on PyPI.